英文:
Setting xticks moves all bars to the left side of the figure
问题
我正在尝试设置每10年的x轴刻度标签。然而，当设置x轴刻度范围时，所有的条形图都压缩到了图形的左侧。
DataFrame示例
温度 年份0 82 19001 52 19012 33 19023 91 19034 44 1904
代码
import pandas as pdimport seaborn as snsimport numpy as npimport matplotlib.pyplot as plt# 随机样本数据np.random.seed(365)df = pd.DataFrame({'温度': np.random.randint(0, 100, 124), '年份': range(1900, 2024)})# 根据最小和最大年份设置xtickssns.barplot(data=df, x='年份', y='温度')_ = plt.xticks(range(df.年份.min(), df.年份.max(), 10))
如何修复条形图，使x轴标签具有正确的范围，并且条形图的位置正确？
英文:
I'm trying to set the x-ticks labels for every 10 years. However, when the x-ticks range is set, all of the bars are compressed to the left side of the figure.
DataFrame Sample
Temperature Year0 82 19001 52 19012 33 19023 91 19034 44 1904
Code
import pandas as pdimport seaborn as snsimport numpy as npimport matplotlib.pyplot as plt# random sample datanp.random.seed(365)df = pd.DataFrame({'Temperature': np.random.randint(0, 100, 124), 'Year': range(1900, 2024)})# setting xticks based on the min and max yearsns.barplot(data=df, x='Year', y='Temperature')_ = plt.xticks(range(df.Year.min(), df.Year.max(), 10))
How can I fix the barplot so the x-axis labels have the correct range, and the bars are positioned correctly?
答案1
得分: 1
-
seaborn.barplot的坐标轴刻度以及pandas.DataFrame.plot使用kind='bar'的情况下，都是从0开始索引的。xtick标签只是文本，不代表刻度位置。 -
matplotlib.pyplot.bar和matplotlib.axes.Axes.bar根据传递给x轴的值进行索引，如果不是string数据类型。 -
seaborn是matplotlib的高级API，而pandas.DataFrame.plot默认使用matplotlib作为后端。 -
对于水平条形图以及其他类别绘图方法，如
violinplot、swarmplot、stripplot和boxplot，也适用相同的规则。 -
使用
plt.gca().get_xticklabels()或ax.get_xticklabels()可以显示刻度和相关标签。 -
将xtick范围设置为从0到
len(df)。
# 根据刻度值为0的索引设置xticks# 颜色设置为单一颜色，因为husl颜色不包含任何信息sns.barplot(data=df, x='Year', y='Temperature', color='tab:blue', width=0.3)_ = plt.xticks(range(0, len(df), 12))
df.plot(kind='bar', x='Year', rot=0)_ = plt.xticks(range(0, len(df), 12))
plt.bar(height='Temperature', x='Year', data=df)_ = plt.xticks(range(df.Year.min(), df.Year.max() + 1, 10))
- 这同样适用于其他类别绘图：
violinplot、swarmplot、stripplot、boxplot和水平barplot。
flights = sns.load_dataset('flights')fig, ax = plt.subplots(2, 3, figsize=(12, 8), sharex=False, sharey=False, tight_layout=True)ax = ax.flatsns.violinplot(data=flights, x='year', y='passengers', color='tab:pink', ax=ax[0])ax[0].set_xticks(range(0, len(df.year.unique()), 2))sns.swarmplot(data=flights, x='year', y='passengers', size=3, ax=ax[1])ax[1].set_xticks(range(0, len(df.year.unique()), 2))sns.stripplot(data=flights, x='year', y='passengers', size=3, ax=ax[2])ax[2].set_xticks(range(0, len(df.year.unique()), 2))sns.boxplot(data=flights, x='year', y='passengers', color='tab:pink', ax=ax[3])ax[3].set_xticks(range(0, len(df.year.unique()), 2))sns.barplot(data=flights, y='year', x='passengers', color='tab:pink', orient='h', ax=ax[5])ax[5].set_yticks(range(0, len(df.year.unique()), 2))ax[4].remove()plt.show()
英文:
- The axis ticks of a
seaborn.barplot, and apandas.DataFrame.plotwithkind='bar', are indexed from0. The xtick label is just text, and is not representative of the tick position.matplotlib.pyplot.barandmatplotlib.axes.Axes.barare indexed based on the value passed to the x-axis, if it's not astringdata type.seabornis a high-level API formatplotlib, andpandas.DataFrame.plotusesmatplotlibas the default backend.- The same applies to horizontal bars, and to other categorical plot methods, such as
violinplot,swarmplot,stripplot, andboxplot.
- Using
plt.gca().get_xticklabels(), orax.get_xticklabels(), will show the ticks and the associated labels. - Set the xtick range from
0to thelen(df).
# setting xticks based on the ticks being 0 indexed# color was set to a single color, because the husl color did not encode any informationsns.barplot(data=df, x='Year', y='Temperature', color='tab:blue', width=0.3)_ = plt.xticks(range(0, len(df), 12))
df.plot(kind='bar', x='Year', rot=0)_ = plt.xticks(range(0, len(df), 12))
plt.bar(height='Temperature', x='Year', data=df)_ = plt.xticks(range(df.Year.min(), df.Year.max() + 1, 10))
- This applies to other categorical plots:
violinplot,swarmplot,stripplot,boxplot, and horizontalbarplot.
flights = sns.load_dataset('flights')fig, ax = plt.subplots(2, 3, figsize=(12, 8), sharex=False, sharey=False, tight_layout=True)ax = ax.flatsns.violinplot(data=flights, x='year', y='passengers', color='tab:pink', ax=ax[0])ax[0].set_xticks(range(0, len(df.year.unique()), 2))sns.swarmplot(data=flights, x='year', y='passengers', size=3, ax=ax[1])ax[1].set_xticks(range(0, len(df.year.unique()), 2))sns.stripplot(data=flights, x='year', y='passengers', size=3, ax=ax[2])ax[2].set_xticks(range(0, len(df.year.unique()), 2))sns.boxplot(data=flights, x='year', y='passengers', color='tab:pink', ax=ax[3])ax[3].set_xticks(range(0, len(df.year.unique()), 2))sns.barplot(data=flights, y='year', x='passengers', color='tab:pink', orient='h', ax=ax[5])ax[5].set_yticks(range(0, len(df.year.unique()), 2))ax[4].remove()plt.show()
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