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‎SUMMARY.md‎

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* [Series.values](api-reference/series/series.values.md)
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* [Series.tensor](api-reference/series/series.tensor.md)
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* [Series.index](api-reference/series/series.index.md)
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* [Series.toString](api-reference/series/series.tostring.md)
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* [Series.apply](api-reference/series/series.apply.md)
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* [Series.map](api-reference/series/series.map.md)
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* [Series.set\_index](api-reference/series/series.set_index.md)

‎api-reference/README.md‎

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* [Tables](plotting/tables.md)
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* [Box Plots](plotting/box-plots.md)
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* [Violin Plots](plotting/violin-plots.md)
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* [Density Plots]()
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* [Timeseries Plots](plotting/timeseries-plots.md)
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* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
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* [Indexing, iteration](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html#indexing-iteration)
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* [Function application](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html#function-application)
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* [Computations / descriptive stats](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html#computations-descriptive-stats)
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* [Indexing, iteration](groupby/#indexing-iteration)
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* [Function application](groupby/#function-application)
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* [Computations / descriptive stats](groupby/#computations-descriptive-stats)
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‎api-reference/dataframe/README.md‎

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| :--- | :--- |
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| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame. |
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| [`DataFrame.dtypes`](dataframe.dtypes.md) | Return the dtypes in the DataFrame. |
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| [`DataFrame.ctypes`](dataframe.dtypes.md) | Return the data types in the DataFrame. |
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| :--- | :--- |
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| [`DataFrame.select_dtypes`](dataframe.select_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
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| [`DataFrame.values`](dataframe.values.md) | Return a Numpy representation of the DataFrame. |
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| [`DataFrame.astype`](dataframe.astype.md) | Cast a pandas object to a specified dtype `dtype`. |
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| :--- | :--- |
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| [`DataFrame.copy`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.copy.html#pandas.DataFrame.copy) | Make a copy of this object’s indices and data. |
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| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data. |
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### Indexing, iteration
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| [`DataFrame.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head) | Return the first n rows |
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| [`DataFrame.head`](danfo.dataframe.head.md) | Return the first n rows |
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| :--- | :--- |
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| [`DataFrame.loc`](danfo.dataframe.loc.md) | Access a group of rows and columns by label\(s\) or a boolean array. |
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| [`DataFrame.iloc`](danfo.dataframe.iloc.md) | Purely integer-location based indexing for selection by position. |
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| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame. |
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| :--- | :--- |
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| [`DataFrame.groupby`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html#pandas.DataFrame.groupby) | Group DataFrame using a mapper or by a Series of columns. |
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| [`DataFrame.groupby`](../groupby/) | Group DataFrame using a mapper or by a Series of columns. |
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| [`DataFrame.map`](../series/series.map.md) | Map a function on Object along an axis to DataFrame |
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### Computations / descriptive stats
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| | |
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| :--- | :--- |
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| [`DataFrame.drop`](dataframe.drop.md) | Drop specified labels from rows or columns. |
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| [`DataFrame.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head) | Return the first n rows. |
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| [`DataFrame.rename`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.rename.html#pandas.DataFrame.rename) | Alter axes labels. |
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| [`DataFrame.head`](danfo.dataframe.head.md) | Return the first n rows. |
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| [`DataFrame.rename`](dataframe.rename.md) | Alter axes labels. |
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| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame |
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| [`DataFrame.sample`](danfo.dataframe.sample.md) | Return a random sample of items from an axis of object. |
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| [`DataFrame.set_index`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.set_index.html#pandas.DataFrame.set_index) | Set the DataFrame index using existing columns. |
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| [`DataFrame.set_index`](dataframe.set_index.md) | Set the DataFrame index using existing columns. |
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| [`DataFrame.tail`](danfo.dataframe.tail.md) | Return the last n rows. |
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### Missing data handling
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| :--- | :--- |
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| [`DataFrame.sort_values`](dataframe.sort_values.md) | Sort by the values along either axis. |
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| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame |
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| [`DataFrame.transpose`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.transpose.html#pandas.DataFrame.transpose) | Transpose index and columns. |
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### Combining / comparing / joining / merging
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| | |
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| :--- | :--- |
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| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md) | Add new columns to a DataFrame. |
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| [`DataFrame.concat`]() | Concatenate DataFrames together. |
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| [`DataFrame.merge`]() | Merge DataFrame or named Series objects with a database-style join. |
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| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together. |
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| [`DataFrame.merge`](../general-functions/danfo.merge.md) | Merge DataFrame or named Series objects with a database-style join. |
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### Plotting
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`DataFrame.plot` exposes different plot methods that work in the browser. All plots are compatible with Plotly API.
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| [`DataFrame.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html#pandas.DataFrame.plot) | DataFrame plotting accessor and method |
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| :--- | :--- |
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`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
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| | |
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| :--- | :--- |
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| [`DataFrame.plot.bar`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.bar.html#pandas.DataFrame.plot.bar) | Vertical bar plot. |
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| [`DataFrame.plot.box`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.box.html#pandas.DataFrame.plot.box) | Make a box plot of the DataFrame columns. |
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| [`DataFrame.plot.density`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.density.html#pandas.DataFrame.plot.density) | Generate Kernel Density Estimate plot using Gaussian kernels. |
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| [`DataFrame.plot.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.hist.html#pandas.DataFrame.plot.hist) | Draw one histogram of the DataFrame’s columns. |
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| [`DataFrame.plot.kde`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.kde.html#pandas.DataFrame.plot.kde) | Generate Kernel Density Estimate plot using Gaussian kernels. |
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| [`DataFrame.plot.line`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.line.html#pandas.DataFrame.plot.line) | Plot Series or DataFrame as lines. |
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| [`DataFrame.plot.pie`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.pie.html#pandas.DataFrame.plot.pie) | Generate a pie plot. |
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| [`DataFrame.plot.scatter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.scatter.html#pandas.DataFrame.plot.scatter) | Create a scatter plot with varying marker point size and color. |
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| [DataFrame.plot.bar](../plotting/bar-charts.md) | Vertical bar plot. |
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| [`DataFrame.plot.box`](../plotting/box-plots.md) | Make a box plot of the DataFrame columns. |
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| [`DataFrame.plot.violin`](../plotting/box-plots.md) | Make a violin plot of the DataFrame columns. |
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| [`DataFrame.plot.hist`](../plotting/histograms.md) | Draw one histogram of the DataFrame’s columns. |
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| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
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| [`DataFrame.plot.line`](../plotting/line-charts.md) | Plot Series or DataFrame as lines. |
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| [`DataFrame.plot.pie`](../plotting/pie-charts.md) | Generate a pie plot. |
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| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots |
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| [`Table`](../plotting/tables.md) | Display Series as Interactive table in Div |
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### Serialization / IO / conversion
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| :--- | :--- |
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| [`DataFrame.to_csv`](dataframe.to_csv.md) | Write object to a comma-separated values \(csv\) file. |
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| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string. |
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| [`DataFrame.to_table`]() | Render a DataFrame as an HTML table. |
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| [`DataFrame.toString`](../series/series.tostring.md) | Render a DataFrame to a console-friendly tabular output. |
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| [`DataFrame.print`](dataframe.print.md) | Display a DataFrame to a console friendly output. |
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‎api-reference/dataframe/danfo.dataframe.addcolumn.md‎

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{% tabs %}
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{% tab title="Node" %}
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```javascript
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let data = [{"A": [30, 1, 2, 3]},
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const dfd = require("danfojs-node")
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let data = {"A": [30, 1, 2, 3],
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"C": [20, 20, 30, 40]}
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let df = new dfd.DataFrame(data)
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‎api-reference/dataframe/danfo.dataframe.column.md‎

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‎api-reference/dataframe/danfo.dataframe.fillna.md‎

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let data = [{"Name":["Apples", "Mango", "Banana", undefined]},
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‎api-reference/dataframe/danfo.dataframe.groupby.md‎

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‎api-reference/dataframe/danfo.dataframe.isna.md‎

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‎api-reference/dataframe/dataframe.astype.md‎

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‎api-reference/dataframe/dataframe.drop.md‎

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