How to avoid “…” when convert a pandas matrix to string?

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For example,

when the matrix is too wide, is there a way to suppress the "..." in the string format of pandas matrix to show all the detail of each column.

          adj_close_reg_1   ...         adj_low_reg_5

count     23954.000000      ...         23954.000000

mean          0.999850      ...             0.999501

std           0.019801      ...             0.043667

asked Nov 10 at 16:00

Capemer

315

add a comment |

up vote
0
down vote

favorite

For example,

when the matrix is too wide, is there a way to suppress the "..." in the string format of pandas matrix to show all the detail of each column.

          adj_close_reg_1   ...         adj_low_reg_5

count     23954.000000      ...         23954.000000

mean          0.999850      ...             0.999501

std           0.019801      ...             0.043667

asked Nov 10 at 16:00

Capemer

315

add a comment |

up vote
0
down vote

favorite

For example,

when the matrix is too wide, is there a way to suppress the "..." in the string format of pandas matrix to show all the detail of each column.

          adj_close_reg_1   ...         adj_low_reg_5

count     23954.000000      ...         23954.000000

mean          0.999850      ...             0.999501

std           0.019801      ...             0.043667

asked Nov 10 at 16:00

Capemer

315

For example,

when the matrix is too wide, is there a way to suppress the "..." in the string format of pandas matrix to show all the detail of each column.

          adj_close_reg_1   ...         adj_low_reg_5

count     23954.000000      ...         23954.000000

mean          0.999850      ...             0.999501

std           0.019801      ...             0.043667

python pandas dataframe

asked Nov 10 at 16:00

Capemer

315

asked Nov 10 at 16:00

Capemer

315

asked Nov 10 at 16:00

Capemer

315

asked Nov 10 at 16:00

Capemer

315

asked Nov 10 at 16:00

Capemer

315

add a comment |

1 Answer
1

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oldest

votes

up vote
2
down vote

accepted

You can play with set_option

import pandas as pd

pd.set_option('display.height', 1000)

pd.set_option('display.max_rows', 500)

pd.set_option('display.max_columns', 500)

pd.set_option('display.width', 1000)

OR use:

pd.set_option('display.expand_frame_repr', False)

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

up vote
2
down vote

accepted

You can play with set_option

import pandas as pd

pd.set_option('display.height', 1000)

pd.set_option('display.max_rows', 500)

pd.set_option('display.max_columns', 500)

pd.set_option('display.width', 1000)

OR use:

pd.set_option('display.expand_frame_repr', False)

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

add a comment |

up vote
2
down vote

accepted

You can play with set_option

import pandas as pd

pd.set_option('display.height', 1000)

pd.set_option('display.max_rows', 500)

pd.set_option('display.max_columns', 500)

pd.set_option('display.width', 1000)

OR use:

pd.set_option('display.expand_frame_repr', False)

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

add a comment |

up vote
2
down vote

accepted

You can play with set_option

import pandas as pd

pd.set_option('display.height', 1000)

pd.set_option('display.max_rows', 500)

pd.set_option('display.max_columns', 500)

pd.set_option('display.width', 1000)

OR use:

pd.set_option('display.expand_frame_repr', False)

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

You can play with set_option

import pandas as pd

pd.set_option('display.height', 1000)

pd.set_option('display.max_rows', 500)

pd.set_option('display.max_columns', 500)

pd.set_option('display.width', 1000)

OR use:

pd.set_option('display.expand_frame_repr', False)

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

edited Nov 10 at 16:07

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

answered Nov 10 at 16:02

Mayank Porwal

2,3291619

add a comment |

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