pandas

问题 This is a trivial question that I just have not been able to find a clear answer on: I have a Series object: random = pd.Series(np.random.randint(10, 10))) I want to replace all values greater than 1 with 0. How do I do this? I've tried Random.replace() without success and I know you can do this easily in a DataFrame, but how do I do it in a Series object? 回答1: Why not just try to set s[s > 1] = 0 import pandas as pd import numpy as np # your data # ============================ np.random.seed

问题 This is a trivial question that I just have not been able to find a clear answer on: I have a Series object: random = pd.Series(np.random.randint(10, 10))) I want to replace all values greater than 1 with 0. How do I do this? I've tried Random.replace() without success and I know you can do this easily in a DataFrame, but how do I do it in a Series object? 回答1: Why not just try to set s[s > 1] = 0 import pandas as pd import numpy as np # your data # ============================ np.random.seed

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 6 months ago . Improve this question I often want to quickly save some Python data, but I would also like to save it in a stable file format in case the date lingers for a long time. And so I have the question, how can I save my data? In data science, there are three kinds of data I want to

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 6 months ago . Improve this question I often want to quickly save some Python data, but I would also like to save it in a stable file format in case the date lingers for a long time. And so I have the question, how can I save my data? In data science, there are three kinds of data I want to

问题 Given this dataframe (which is a subset of mine): username user_message Polop I love this picture, which is very beautiful Artil Meh Artingo Es un cuadro preciosa, me recuerda a mi infancia. Zona I like it Soi Yuck, to say I hate it would be a euphemism Iyu NaN What I'm trying to do is drop rows for which a number of words (tokens) is less than 5 words, and that are not written in English. I'm not familiar with pandas, so I imagined a not so pretty solution: import pandas as pd from

问题 Given this dataframe (which is a subset of mine): username user_message Polop I love this picture, which is very beautiful Artil Meh Artingo Es un cuadro preciosa, me recuerda a mi infancia. Zona I like it Soi Yuck, to say I hate it would be a euphemism Iyu NaN What I'm trying to do is drop rows for which a number of words (tokens) is less than 5 words, and that are not written in English. I'm not familiar with pandas, so I imagined a not so pretty solution: import pandas as pd from

问题 Given this dataframe (which is a subset of mine): username user_message Polop I love this picture, which is very beautiful Artil Meh Artingo Es un cuadro preciosa, me recuerda a mi infancia. Zona I like it Soi Yuck, to say I hate it would be a euphemism Iyu NaN What I'm trying to do is drop rows for which a number of words (tokens) is less than 5 words, and that are not written in English. I'm not familiar with pandas, so I imagined a not so pretty solution: import pandas as pd from

问题 I have this dataframe and I want to line plot it. As I have plotted it. Graph is Code to generate is fig, ax = plt.subplots(figsize=(15, 5)) date_time = pd.to_datetime(df.Date) df = df.set_index(date_time) plt.xticks(rotation=90) pd.DataFrame(df, columns=df.columns).plot.line( ax=ax, xticks=pd.to_datetime(frame.Date)) I want a marker of innovationScore with value(where innovationScore is not 0) on open, close line. I want to show that that is the change when InnovationScore changes. 回答1: You

问题 I have a dataframe of surgical activity data that has 58 columns and 200,000 records. One of the columns is treatment specialty. Each row corresponds to a patient encounter. I want to see the relative conribution of medical specialties.One column is 'treatment_specialty'. I have used df['treatment_specialty'].value_counts(normalize=true) to get the relative proprtions of each specialty. This below is returned (no errors). The specialties have codes eg 150 is neurosurgery. df.head() 150 0

问题 I have this dataframe and I want to line plot it. As I have plotted it. Graph is Code to generate is fig, ax = plt.subplots(figsize=(15, 5)) date_time = pd.to_datetime(df.Date) df = df.set_index(date_time) plt.xticks(rotation=90) pd.DataFrame(df, columns=df.columns).plot.line( ax=ax, xticks=pd.to_datetime(frame.Date)) I want a marker of innovationScore with value(where innovationScore is not 0) on open, close line. I want to show that that is the change when InnovationScore changes. 回答1: You