import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# set edgecolor param (this is a global setting, so only set it once)
plt.rcParams["patch.force_edgecolor"] = True
# setup the dataframe
Delay = ['S1', 'S2', 'S3', 'S4']
Time = [87, 66, 90, 55]
df = pd.DataFrame({'Delay':Delay,'Time':Time})
# create a dict for the errors
error = {87: {'max': 90,'min': 60}, 66: {'max': 70,'min': 40}, 90: {'max': 93,'min': 80}, 55: {'max': 60,'min': 23}}
-
seaborn.barplot 将自动添加错误栏，如链接中的示例所示。但是，这是特定于使用许多数据点的。在这种情况下，一个值被指定为错误，错误不是从数据中确定的。
- 这样添加误差线时，可以指定
capsize参数，在误差线的顶部和底部添加水平线。
# plot the figure
fig, ax = plt.subplots(figsize=(8, 6))
sns.barplot(x='Delay', y='Time', data=df, ax=ax)
# add the lines for the errors
for p in ax.patches:
x = p.get_x() # get the bottom left x corner of the bar
w = p.get_width() # get width of bar
h = p.get_height() # get height of bar
min_y = error[h]['min'] # use h to get min from dict z
max_y = error[h]['max'] # use h to get max from dict z
plt.vlines(x+w/2, min_y, max_y, color='k') # draw a vertical line
- 正如gepcel 中的answer 中所述，
yerr 参数可用于向 API 显式提供错误。
- 但是，您的错误格式与参数不正确。
yerr 期望值与栏的顶部相关
-
S1 为 87，min 或 60，max 为 90。因此，ymin 为 27，(87-60)，ymax 为 3，(90-87)。
-
seaborn.barplotcapsize 参数似乎不适用于yerr，因此您必须设置matplotlib 'errorbar.capsize' rcParmas。见Matplotlib Errorbar Caps Missing
# set capsize param (this is a global setting, so only set it once)
plt.rcParams['errorbar.capsize'] = 10
# create dataframe as shown by gepcel
Delay = ['S1', 'S2', 'S3', 'S4']
Time = [87, 66, 90, 55]
_min = [60, 40, 80, 23]
_max = [90, 70, 93, 60]
df = pd.DataFrame({'Delay':Delay,'Time':Time, 'Min': _min, 'Max': _max})
# create ymin and ymax
df['ymin'] = df.Time - df.Min
df['ymax'] = df.Max - df.Time
# extract ymin and ymax into a (2, N) array as required by the yerr parameter
yerr = df[['ymin', 'ymax']].T.to_numpy()
# plot with error bars
fig, ax = plt.subplots(figsize=(8, 6))
sns.barplot(x='Delay', y='Time', data=df, yerr=yerr, ax=ax)
fig, ax = plt.subplots(figsize=(8, 6))
df.plot.bar(x='Delay', ax=ax)
for p in ax.patches:
x = p.get_x() # get the bottom left x corner of the bar
w = p.get_width() # get width of bar
h = p.get_height() # get height of bar
min_y = error[h]['min'] # use h to get min from dict z
max_y = error[h]['max'] # use h to get max from dict z
plt.vlines(x+w/2, min_y, max_y, color='k') # draw a vertical line
ax.bar
fig, ax = plt.subplots(figsize=(8, 6))
ax.bar(x='Delay', height='Time', data=df)
for p in ax.patches:
x = p.get_x() # get the bottom left x corner of the bar
w = p.get_width() # get width of bar
h = p.get_height() # get height of bar
min_y = error[h]['min'] # use h to get min from dict z
max_y = error[h]['max'] # use h to get max from dict z
plt.vlines(x+w/2, min_y, max_y, color='k') # draw a vertical line