Python Pandas Cheat Sheet - Intellipaat
PYTHON FOR DATA
SCIENCE
CHEAT SHEET
Importing Data
Operations
Arithmetic Operations:
Oper
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Python Pandas
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pd.read_csv(filename)
View DataFrame Contents:
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pd.read_table(filename)
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df.head(n) - look at first n rows of the DataFrame.
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pd.read_excel(filename)
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df.tail(n) ¨C look at last n rows of the DataFrame.
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pd.read_sql(query, connection_object)
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df.shape() - Gives the number of rows and columns.
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pd.read_json(json_string)
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() - Information of Index, Datatype and Memory.
mean of the values in column2, grouped by the values in
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df.describe() -Summary statistics for numerical
column1
from one column
columns.
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Exporting Data
What is Pandas?
data analysis tool for Python Programming Language.
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df.iloc[0] - Select first row of data frame
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df.iloc[1] - Select second row of data frame
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df.to_excel(filename)
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df.iloc[-1] - Select last row of data frame
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df.to_sql(table_name, connection_object)
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df.iloc[:,0] - Select first column of data frame
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df.to_json(filename)
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df.iloc[:,1] - Select second column of data
Import Convention
frame
Pandas Data
Structure
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Series:
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columns=['Mobile', 'Color', 'Price'])
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df.median() - median of each column
Standard Deviation
df.loc['row1':'row3', 'column1':'column3¡¯]-
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Select and slicing on labels
Max
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df.std() - standard deviation of each column
df.max() - highest value in each column
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df.sort_index() - Sorts by labels along an axis
Min
iterable new_series
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df.sort_values by='Column label¡¯ - Sorts by the values
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along an axis
Count
df.sort_values(column1) - Sorts values by column1 in
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Plotting
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Histogram: df.plot.hist()
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Scatter Plot: df.plot.scatter(x='column1',y='column2')
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df.min() - lowest value in each column
df.count() - number of non-null values in each DataFrame
column
ascending order
'Redmi'], 'Color': ['Red', 'White', 'Black'], 'Price': [High,
df.mean() - mean of all columns
pd.Series(new_series) - Creates a series from an
data_mobile = {'Mobile': ['iPhone', 'Samsung',
df = pd.DataFrame(data_mobile,
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Sort:
Data Frame:
Medium,Low]}
Mean:
rows of random floats
s = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
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df.loc([0], [column labels])- Select single
value by row position & column labels
pd.DataFrame(np.random.rand(4,3)) - 3 columns and 4
Functions
Median
loc
Create Test/Fake
Data
df.groupby(column1)[column2].median() - Returns the
column1
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df.to_csv(filename)
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df.groupby(column1)[column2].mean() - Returns the
mean of the values in column2, grouped by the values in
iloc
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import pandas as pd ¨C Import pasdas
df.groupby([column1,column2]) - Returns a groupby
object values from multiple columns
Selection:
It is a library that provides easy to use data structure and
ations G r - oReturns
u paBgroupby
y object for values
df.groupby(column)
df.sort_values(column2,ascending=False) - Sorts
Describe
values by column2 in descending order
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df.describe() - Summary statistics for numerical columns
FURTHERMORE:
Python for Data Science Certification Training Course
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