toolkit, Release 1.3.2 Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same structure. In [3]: url = ( ...: "https://raw.github.com/pandas-dev" ...: "/pandas/master/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips Out[5]: total_bill

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same data analysis toolkit, Release 1.3.3 (continued from previous page) ...: "/pandas/master/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips Out[5]: total_bill

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same structure. In [3]: url = ( ...: "https://raw.github.com/pandas-dev" ...: "/pandas/master/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips Out[5]: total_bill

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same structure. In [3]: url = ( ...: "https://raw.github.com/pandas-dev" ...: "/pandas/master/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips.head() Out[5]:

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same structure. In [3]: url = ( ...: "https://raw.github.com/pandas-dev" ...: "/pandas/master/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips.head() Out[5]:

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same Python data analysis toolkit, Release 1.4.2 (continued from previous page) ...: "/pandas/main/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips Out[5]: total_bill

development environment. Running the test suite pandas is equipped with an exhaustive set of unit tests, covering about 97% of the code base as of this writing. To run it on your machine to verify that In [2]: import numpy as np Most of the examples will utilize the tips dataset found within pandas tests. We’ll read the data into a DataFrame called tips and assume we have a database table of the same Python data analysis toolkit, Release 1.4.4 (continued from previous page) ...: "/pandas/main/pandas/tests/io/data/csv/tips.csv" ...: ) ...: In [4]: tips = pd.read_csv(url) In [5]: tips Out[5]: total_bill

Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335 Writing tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335 Running . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336 Running Google BigQuery Integration Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 Running the vbench performance test suite infer negative freq (GH11018) • Remove use of some deprecated numpy comparison operations, mainly in tests. (GH10569) • Bug in Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing

Test-driven development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 Writing tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 Running . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 Running Google BigQuery Integration Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . 339 Running the vbench performance test suite infer negative freq (GH11018) • Remove use of some deprecated numpy comparison operations, mainly in tests. (GH10569) • Bug in Index dtype may not applied properly (GH11017) • Bug in io.gbq when testing

development/code writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 3.5.3.1 Writing tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 3.5.3.2 Transitioning column-MultiIndexed DataFrame (GH16789, GH16825) • Fixed a pytest marker failing downstream packages’ tests suites (GH16680) 1.1.1.1 Conversion • Bug in pickle compat prior to the v0.20.x series, when UTC ath}'.format( ....: repo = 'pandas-dev/pandas', ....: branch = 'master', ....: path = 'pandas/tests/io/parser/data/salaries.csv.bz2', ....: ) ....: In [22]: df = pd.read_table(url, compression='infer')