从字典列表中创建熊猫数据框
原文:https://www.geesforgeks.org/create-a-pandas-data frame-from-list-dicts/
Pandas DataFrame 是一个二维标记数据结构，具有潜在的不同类型的列。它一般是熊猫最常用的对象。
熊猫数据框可以用多种方式创建。让我们讨论如何从字典列表中创建熊猫数据框。
代码#1:
# Python code demonstrate how to create
# Pandas DataFrame by lists of dicts.
import pandas as pd
# Initialise data to lists.
data = [{'Geeks': 'dataframe', 'For': 'using', 'geeks': 'list'},
{'Geeks':10, 'For': 20, 'geeks': 30}]
# Creates DataFrame.
df = pd.DataFrame(data)
# Print the data
df
输出:
代码#2: 带index
# Python code demonstrate how to create
# Pandas DataFrame by lists of dicts.
import pandas as pd
# Initialise data to lists.
data = [{'Geeks': 'dataframe', 'For': 'using', 'geeks': 'list'},
{'Geeks':10, 'For': 20, 'geeks': 30}]
# Creates DataFrame.
df = pd.DataFrame(data, index =['ind1', 'ind2'])
# Print the data
df
输出:
代码#3: 带index和columns
# Python code demonstrate how to create
# Pandas DataFrame by lists of dicts.
import pandas as pd
# Initialise data to lists.
data = [{'Geeks': 'dataframe', 'For': 'using', 'geeks': 'list'},
{'Geeks':10, 'For': 20, 'geeks': 30}]
# With two column indices, values same
# as dictionary keys
df1 = pd.DataFrame(data, index =['ind1', 'ind2'],
columns =['Geeks', 'For'])
# With two column indices with
# one index with other name
df2 = pd.DataFrame(data, index =['indx', 'indy'])
# print for first data frame
print (df1, "\n")
# Print for second DataFrame.
print (df2)
输出:
