为 Pandas DataFrame 图设置 xlim
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Setting xlim for Pandas DataFrame plot
提问by mjp
I'm plotting a stacked bar plot from a Pandas DataFrame. The index dates are in datetimeformat and plot just fine. The issue I'm having is trying to set xlimvalues.
我正在从Pandas DataFrame. 索引日期的datetime格式和绘图都很好。我遇到的问题是尝试设置xlim值。
day_counts = {'a': count_a,
'b': count_b,
'c': count_c,
'd': count_d}
df_days = pd.DataFrame(day_counts, index=date)
The variables count_a, .., count_dare lists of numbers and dateis a list of datetimeobjects.
变量count_a..count_d是数字date列表和datetime对象列表。
Plotting without an xlim parameter gives:
没有 xlim 参数的绘图给出：
Plotting with xlim attempt 1:
使用 xlim 尝试 1 进行绘图：
ax = df_days.plot(kind='bar', stacked=True,
xlim=[pd.Timestamp('2015-09-01'), pd.Timestamp('2016-01-01')])
Plotting with xlim attempt 2:
使用 xlim 尝试 2 进行绘图：
ax = df_days.plot(kind='bar', stacked=True)
ax.set_xlim(pd.Timestamp('2015-09-01'), pd.Timestamp('2016-01-01'))
Plotting with xlim attempt 3:
使用 xlim 尝试 3 进行绘图：
ax = df_days.plot(kind='bar', stacked=True)
ax.set_xlim(datetime.datetime(2015,9,1),date[-1])
I would like to have the xlimcommand inside the main plot command if possible, the dataset is really big. Suggestions?
xlim如果可能，我希望在主绘图命令中包含该命令，数据集非常大。建议？
回答by Kyle
Per https://stackoverflow.com/a/31500017/4893407the following should work:
根据https://stackoverflow.com/a/31500017/4893407以下应该有效：
ax.set_xlim(pd.Timestamp('2015-09-01'), pd.Timestamp('2016-01-01'))
ax.set_xlim(pd.Timestamp('2015-09-01'), pd.Timestamp('2016-01-01'))
Are you sure the index of your df is a DatetimeIndex? Does it have duplicates? Is it sorted? Unsorted DatetimeIndex will cause slice indexing with Timestamps to fail.
你确定你的 df 的索引是 DatetimeIndex 吗？它有重复吗？排序了吗？Unsorted DatetimeIndex 将导致带时间戳的切片索引失败。
