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TST: fix some mpl warnings #38574

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Merged
merged 6 commits into from
Dec 22, 2020
Merged

TST: fix some mpl warnings #38574

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6d3fb3b
TST: fix some mpl warnings
mzeitlin11 Dec 19, 2020
8d9f934
Merge remote-tracking branch 'upstream/master' into tst/avoid_some_mp…
mzeitlin11 Dec 21, 2020
025c7e1
Remove redundant parens
mzeitlin11 Dec 21, 2020
f9caffb
Merge remote-tracking branch 'upstream/master' into tst/avoid_some_mp…
mzeitlin11 Dec 22, 2020
d39f84b
Add no warning assertion
mzeitlin11 Dec 22, 2020
1cb28b5
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mzeitlin11 Dec 22, 2020
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11 changes: 8 additions & 3 deletions pandas/plotting/_matplotlib/misc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,9 @@ def normalize(series):
df = frame.drop(class_column, axis=1).apply(normalize)

if ax is None:
ax = plt.gca(xlim=[-1, 1], ylim=[-1, 1])
ax = plt.gca()
ax.set_xlim([-1, 1])
ax.set_ylim([-1, 1])
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I guess you can even use ax.set_xlim(-1, 1), without extra brackets.
The same for other cases as well.

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Done


to_plot: Dict[Label, List[List]] = {}
colors = get_standard_colors(
Expand Down Expand Up @@ -260,7 +262,8 @@ def f(t):
)
colors = dict(zip(classes, color_values))
if ax is None:
ax = plt.gca(xlim=(-np.pi, np.pi))
ax = plt.gca()
ax.set_xlim((-np.pi, np.pi))
for i in range(n):
row = df.iloc[i].values
f = function(row)
Expand Down Expand Up @@ -440,7 +443,9 @@ def autocorrelation_plot(
n = len(series)
data = np.asarray(series)
if ax is None:
ax = plt.gca(xlim=(1, n), ylim=(-1.0, 1.0))
ax = plt.gca()
ax.set_xlim((1, n))
ax.set_ylim((-1.0, 1.0))
mean = np.mean(data)
c0 = np.sum((data - mean) ** 2) / float(n)

Expand Down