Question

我尝试在Visual Studio中运行包含Python库matplotlib和seaborn的Python脚本。包含matplotlib的脚本只能正确运行并显示图表，但是包含seaborn的脚本不会执行任何操作（无错误）。我通过安装Anaconda来安装库。

正常工作的代码是来自matplotlib网站的一个例子：

"""
========
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，但在

上运行代码

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网址找到：

https://www.kaggle.com/benhamner/python-data-visualizations/data

如何让seaborn在Visual Studio中工作？

Answer 1

您在这里比较两个完全不同的代码。第一个代码在新窗口中生成一个图。第二个代码没有任何输出。正如代码中的注释所述，“Jupyter笔记本打印出你做的最后一件事的结果”。

Visual Studio不会这样做;或者更一般地说，python不会这样做。如果你想在python中打印一些东西，你需要print语句或函数。

在python 2中，执行

print iris.head(1000)

在python 3中，执行

print (iris.head(1000))

所有这一切都与seaborn无关。

Python库seaborn在Visual Studio中无法正常工作

1 个答案: