it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). 2.3.2 Installing with Miniconda The previous section outlined how not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data. 76 Chapter 3. Getting started pandas: Python data analysis toolkit, Release 0.24.0 In [38]: tips.loc[tips['tip'] < 2, 'tip'] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain, instead of deleting

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to UPDATE tips SET tip = tip*2 WHERE tip < 2; In [41]: tips.loc[tips["tip"] < 2, "tip"] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain instead of deleting not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data. In [55]: df1 = df.reindex(index=dates[0:4]

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to "tip"] *= 2 1.4. Tutorials 87 pandas: powerful Python data analysis toolkit, Release 1.3.4 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain instead of deleting not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data. In [55]: df1 = df.reindex(index=dates[0:4]

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to UPDATE tips SET tip = tip*2 WHERE tip < 2; In [41]: tips.loc[tips["tip"] < 2, "tip"] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain instead of deleting not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data: In [55]: df1 = df.reindex(index=dates[0:4]

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to UPDATE tips SET tip = tip*2 WHERE tip < 2; In [41]: tips.loc[tips["tip"] < 2, "tip"] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain instead of deleting not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data: In [55]: df1 = df.reindex(index=dates[0:4]

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). 2.3.2 Installing with Miniconda The previous section outlined how not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data. In [55]: df1 = df.reindex(index=dates[0:4] UPDATE tips SET tip = tip*2 WHERE tip < 2; In [38]: tips.loc[tips['tip'] < 2, 'tip'] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain, instead of deleting

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). 2.2.2 Installing with Miniconda The previous section outlined how not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data. In [55]: df1 = df.reindex(index=dates[0:4] UPDATE tips SET tip = tip*2 WHERE tip < 2; In [38]: tips.loc[tips['tip'] < 2, 'tip'] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain, instead of deleting

it. Anaconda can install in the user’s home directory, which makes it trivial to delete Anaconda if you decide (just delete that folder). Installing with Miniconda The previous section outlined how to UPDATE tips SET tip = tip*2 WHERE tip < 2; In [41]: tips.loc[tips["tip"] < 2, "tip"] *= 2 DELETE DELETE FROM tips WHERE tip > 9; In pandas we select the rows that should remain instead of deleting not included in computations. See the Missing Data section. Reindexing allows you to change/add/delete the index on a specified axis. This returns a copy of the data: In [55]: df1 = df.reindex(index=dates[0:4]

make the pull request . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340 3.6.6 Delete your merged branch (optional) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 4 Frequently Table Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 971 25.8.7 Delete from a Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973 25 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1075 33.8 DELETE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

make the pull request . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342 3.6.6 Delete your merged branch (optional) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 4 Frequently Table Queries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973 25.8.7 Delete from a Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 975 25 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1077 33.8 DELETE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .