Python 库 seaborn 在 Visual Studio 中无法正常工作
Python library seaborn doesn't work properly in Visual Studio
我尝试 运行 Visual Studio 中的 Python 脚本,其中包括 Python 库 matplotlib 和 seaborn。包含 matplotlib 的脚本仅 运行s 正确并显示绘图但是,包含 seaborn 的脚本不执行任何操作(无错误)。我通过安装 Anaconda 安装了这些库。
能正常运行的代码是matplotlib官网的例子:
"""
========
Barchart
========
A bar plot with errorbars and height labels on individual bars
"""
import numpy as np
import matplotlib.pyplot as plt
N = 5
men_means = (20, 35, 30, 35, 27)
men_std = (2, 3, 4, 1, 2)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
fig, ax = plt.subplots()
rects1 = ax.bar(ind, men_means, width, color='r', yerr=men_std)
women_means = (25, 32, 34, 20, 25)
women_std = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind + width, women_means, width, color='y', yerr=women_std)
# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind + width / 2)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))
def autolabel(rects):
"""
Attach a text label above each bar displaying its height
"""
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
'%d' % int(height),
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
plt.show()
如果我运行代码:
# First, we'll import pandas, a data processing and CSV file I/O library
import pandas as pd
# We'll also import seaborn, a Python graphing library
import warnings # current version of seaborn generates a bunch of warnings that we'll ignore
warnings.filterwarnings("ignore")
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="dark", color_codes=True)
# Next, we'll load the Iris flower dataset, which is in the "../input/" directory
iris = pd.read_csv("Iris.csv") # the iris dataset is now a Pandas DataFrame
# Let's see what's in the iris data - Jupyter notebooks print the result of the last thing you do
iris.head(1000)
# Press shift+enter to execute this cell
在 Visual Studio 中没有任何反应,但 运行 在
上使用代码
https://www.kaggle.com/benhamner/python-data-visualizations
给出正确的输出。
我使用的数据集可以在以下位置找到:
https://www.kaggle.com/benhamner/python-data-visualizations/data
如何让 seaborn 在 Visual Studio 中工作?
您在这里比较的是两个完全不同的代码。第一个代码在新 window 中生成一个图。第二个代码没有任何输出。正如代码中的注释所述,"Jupyter notebooks print the result of the last thing you do"。
Visual Studio 不这样做;或者更一般地说,python 不会这样做。如果要在 python 中打印某些内容,则需要 print
语句或函数。
在 python 2 中,执行
print iris.head(1000)
在python3中,做
print (iris.head(1000))
这一切都与seaborn无关。
我尝试 运行 Visual Studio 中的 Python 脚本,其中包括 Python 库 matplotlib 和 seaborn。包含 matplotlib 的脚本仅 运行s 正确并显示绘图但是,包含 seaborn 的脚本不执行任何操作(无错误)。我通过安装 Anaconda 安装了这些库。
能正常运行的代码是matplotlib官网的例子:
"""
========
Barchart
========
A bar plot with errorbars and height labels on individual bars
"""
import numpy as np
import matplotlib.pyplot as plt
N = 5
men_means = (20, 35, 30, 35, 27)
men_std = (2, 3, 4, 1, 2)
ind = np.arange(N) # the x locations for the groups
width = 0.35 # the width of the bars
fig, ax = plt.subplots()
rects1 = ax.bar(ind, men_means, width, color='r', yerr=men_std)
women_means = (25, 32, 34, 20, 25)
women_std = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind + width, women_means, width, color='y', yerr=women_std)
# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind + width / 2)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))
def autolabel(rects):
"""
Attach a text label above each bar displaying its height
"""
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
'%d' % int(height),
ha='center', va='bottom')
autolabel(rects1)
autolabel(rects2)
plt.show()
如果我运行代码:
# First, we'll import pandas, a data processing and CSV file I/O library
import pandas as pd
# We'll also import seaborn, a Python graphing library
import warnings # current version of seaborn generates a bunch of warnings that we'll ignore
warnings.filterwarnings("ignore")
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="dark", color_codes=True)
# Next, we'll load the Iris flower dataset, which is in the "../input/" directory
iris = pd.read_csv("Iris.csv") # the iris dataset is now a Pandas DataFrame
# Let's see what's in the iris data - Jupyter notebooks print the result of the last thing you do
iris.head(1000)
# Press shift+enter to execute this cell
在 Visual Studio 中没有任何反应,但 运行 在
上使用代码https://www.kaggle.com/benhamner/python-data-visualizations
给出正确的输出。
我使用的数据集可以在以下位置找到:
https://www.kaggle.com/benhamner/python-data-visualizations/data
如何让 seaborn 在 Visual Studio 中工作?
您在这里比较的是两个完全不同的代码。第一个代码在新 window 中生成一个图。第二个代码没有任何输出。正如代码中的注释所述,"Jupyter notebooks print the result of the last thing you do"。
Visual Studio 不这样做;或者更一般地说,python 不会这样做。如果要在 python 中打印某些内容,则需要 print
语句或函数。
在 python 2 中,执行
print iris.head(1000)
在python3中,做
print (iris.head(1000))
这一切都与seaborn无关。