[英]Python library seaborn doesn't work properly in Visual Studio
我試圖在Visual Studio中運行包含Python庫matplotlib和seaborn的Python腳本。 包含matplotlib的腳本只能正確運行並顯示繪圖,但是,包含seaborn的腳本不會執行任何操作(無錯誤)。 我通過安裝Anaconda安裝了庫。
正常工作的代碼是來自matplotlib網站的示例:
"""
========
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()
如果我運行代碼:
# 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中什么也沒有發生,但是在
https://www.kaggle.com/benhamner/python-data-visualizations
給出正確的輸出。
我使用的數據集位於:
https://www.kaggle.com/benhamner/python-data-visualizations/data
我如何才能在Visual Studio中獲得完美的工作?
您在這里比較兩個完全不同的代碼。 第一個代碼在新窗口中生成圖。 第二個代碼沒有任何輸出。 正如代碼中的注釋所指出的那樣,“ Jupyter筆記本打印出您所做的最后一件事的結果”。
Visual Studio不會這樣做; 或更籠統地說,python不會這樣做。 如果要在python中打印某些內容,則需要print
語句或函數。
在python 2中,執行
print iris.head(1000)
在python 3中執行
print (iris.head(1000))
所有這些與seaborn無關。
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