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DOC: fixed labels in "Plotting with error bars" #34884

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Merged
merged 5 commits into from
Jun 20, 2020
Merged

DOC: fixed labels in "Plotting with error bars" #34884

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58973d9
fixed labels in Plotting with error bars
Jun 20, 2020
51f2837
DOC: Improved display in Plotting Tables section
Jun 20, 2020
f40a285
Removed whitespace in doc/source/user_guide/visualization.rst
marydmit Jun 20, 2020
1b59c28
Added white space in doc/source/user_guide/visualization.rst
marydmit Jun 20, 2020
e6ef90a
Fixed linting errors.
Jun 20, 2020
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11 changes: 6 additions & 5 deletions doc/source/user_guide/visualization.rst
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Expand Up @@ -1424,7 +1424,7 @@ Here is an example of one way to easily plot group means with standard deviation
# Plot
fig, ax = plt.subplots()
@savefig errorbar_example.png
means.plot.bar(yerr=errors, ax=ax, capsize=4)
means.plot.bar(yerr=errors, ax=ax, capsize=4, rot=0)

.. ipython:: python
:suppress:
Expand All @@ -1445,9 +1445,9 @@ Plotting with matplotlib table is now supported in :meth:`DataFrame.plot` and :

.. ipython:: python

fig, ax = plt.subplots(1, 1)
fig, ax = plt.subplots(1, 1, figsize=(7, 6.5))
df = pd.DataFrame(np.random.rand(5, 3), columns=['a', 'b', 'c'])
ax.get_xaxis().set_visible(False) # Hide Ticks
ax.xaxis.tick_top() # Display x-axis ticks on top.

@savefig line_plot_table_true.png
df.plot(table=True, ax=ax)
Expand All @@ -1464,8 +1464,9 @@ as seen in the example below.

.. ipython:: python

fig, ax = plt.subplots(1, 1)
ax.get_xaxis().set_visible(False) # Hide Ticks
fig, ax = plt.subplots(1, 1, figsize=(7, 6.75))
ax.xaxis.tick_top() # Display x-axis ticks on top.

@savefig line_plot_table_data.png
df.plot(table=np.round(df.T, 2), ax=ax)

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