Release/v0.1.5 (#26)

* Release/v0.1.1 (#6) * Remove pyscaffold leftovers (#2) * updated changelog * removed pyscaffold url from setup.cfg * updated readme with empty docs * Multiple scatter plot (#3) * basic support for pandas series * added limits property to axis * added hacky multiple scatter via color param * quick and dirty name setting * added legend in splapdash support * moved drawing functionality to separate module * adding manifest for including dataset * added legend draw test * added some tests for pandas api * added faux test for color array * Basic docs (#4) * first go at making basic docs * updated readme * updated the examples * adding a tentative deploy step (#5) * updated changelog * Release/v0.1.2 (#11) * Barh series (#8) * refactored axis to allow for arbitrary ticks and labels * barh-plotting somewhat functional * barh plots sort of working * refactored axis and added basic test * added tests on axis transformation * added a silly test * silly test for barh * added lots of tests for axis class * fixed axis limits setting * updated isort config * updated isort config * updated docs * added examples for barh usag * Axis n ticks (#9) * added func for determining n_ticks * updated docs * added a random test for pandas api * updated travis ci for pypi deployment on tags (#10) * updated changelog for v0.1.2 * Release/v0.1.3 (#16) * Release/v0.1.4 (#21) * Plot options (#18) * initial stab at global figure options * added figure options * pandas api needs overhaul * added some docstrings * fixed bug in drawing, needs tests * added tests for axis drawing * fixed extra args passed in pandas api * fixed extra args passed in pandas api * added test for drawing canvas * added some docs in drawing module * updated docs for API ref * added custom api docs * revert makefile change * updated docstrings * updated docs with new options for plotting * fixed the drawing tests * updated examples and changelog * Plots testing (#19) * added tests for linear plot * added tests for plot function * fixed plot series test * cleaning up pandas_api module * switching from if else to singledispatch * stacking of singledispatch register * added test for get_label func * added test for barh with index extraction * added test for single boxplot * Plots testing (#20) * added tests for linear plot * added tests for plot function * fixed plot series test * cleaning up pandas_api module * switching from if else to singledispatch * stacking of singledispatch register * added test for get_label func * added test for barh with index extraction * added test for single boxplot * tests for multi boxplot passing * updated changelog * updated changelog
CDonnerer · Jan 18, 2021 · 8b7c7e1 · 8b7c7e1
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diff --git a/CHANGELOG.rst b/CHANGELOG.rst
@@ -3,6 +3,14 @@ Changelog
 =========
 
 
+Version 0.1.5
+-------------
+- Allow to plot multiple scatters via 2d np arrays
+- Added support for datetime types
+- Added pandas visualisation example docs
+- General support for adding legend to plot via ``label`` keyword
+
+
 Version 0.1.4
 -------------
 - Fixed bug in x-axis drawing, spurious rounding

diff --git a/examples/basic_usage.py b/examples/basic_usage.py
@@ -2,39 +2,33 @@
 
 import shellplot as plt
 
-x = np.arange(-3, 6, 0.01)
-y1 = np.cos(x)
-y2 = np.sin(x)
-y3 = y1 + y2
+x = np.arange(-4, 4, 0.01)
+y = np.cos(x)
+plt.plot(x, y, xlabel="x", ylabel="f(x)", figsize=(60, 25))
 
-y = np.vstack((y1, y2))
-x = np.vstack((x, x))
+plt_str = plt.plot(
+    x,
+    y,
+    figsize=(40, 21),
+    xlim=(0, 3),
+    ylim=(-1, 1),
+    xlabel="x",
+    ylabel="cos(x)",
+    return_type="str",
+)
+print(plt_str)
 
-plt.plot(x, y, labels=("cos", "sin"), figsize=(80, 30))  # , ylim=(-1.5, 1.5))
 
-# plt_str = plt.plot(
-#     x,
-#     y,
-#     figsize=(40, 21),
-#     xlim=(0, 3),
-#     ylim=(-1, 1),
-#     xlabel="x",
-#     ylabel="cos(x)",
-#     return_type="str",
-# )
-# print(plt_str)
-#
-#
-# x = [np.random.randn(100) for i in range(3)]
-# plt.boxplot(x, labels=np.array(["dist_1", "dist_2", "dist_3"]), figsize=(40, 25))
-#
-# x = np.random.randn(1000)
-# plt.hist(x, bins=12, figsize=(40, 20), xlabel="normal distribution")
-#
-# x = np.logspace(0, 1, 3)
-# plt.barh(
-#     x,
-#     labels=np.array(["bar_1", "bar_b", "bar_3"]),
-#     xlabel="my_fun_bars",
-#     figsize=(40, 20),
-# )
+x = [np.random.randn(100) for i in range(3)]
+plt.boxplot(x, labels=np.array(["dist_1", "dist_2", "dist_3"]), figsize=(40, 25))
+
+x = np.random.randn(1000)
+plt.hist(x, bins=12, figsize=(40, 20), xlabel="normal distribution")
+
+x = np.logspace(0, 1, 3)
+plt.barh(
+    x,
+    labels=np.array(["bar_1", "bar_b", "bar_3"]),
+    xlabel="my_fun_bars",
+    figsize=(40, 20),
+)