By default to_csv writes a CSV like But I want it to write like this: How do I achieve this? I can’t set index=False because I want to preserve the index. I just want to remove the leading comma. Answer It is possible by write only columns without index first and then data without header in append mode:
Tag: dataframe
Pandas: How to fill missing dates in a long dataframe with multiple non overlapping time series?
I have a long dataframe with multiple timeseries which are non overlapping. The df looks like this For the time series with id 1, the missing timestamps are 5,6 and 7 and the time series #2 misses timestamps 0 and 1. I would like to fill the missing dates for all the time series in the dataframe so all of
How to change index and transposing in pandas
I’m new in pandas and trying to do some converting on the dateframe but I reach closed path. my data-frame is: I need this dataframe to be like the following: as it shown I take the entity_name column as index without duplicates and the columns names from request_status column and the value from dcount so please any one can help
Unstack and return value counts for each variable?
I have a data frame that records responses of 19717 people’s choice of programing languages through multiple choice questions. The first column is of course the gender of the respondent while the rest are the choices they picked. The data frame is shown below, with each response being recorded as the same name as column. If no response is selected,
looking for the difference between ocurrences in a datframe
I have a dataframe like this (the real one is 7 million records and 345 features) the following image is only a small fraction related to if a cliente make an operation in a month. What I want to do is create a column at the end with the mean difference between each operation. For example in the first record
Pandas: Remove Column Based on Threshold Criteria
I have to solve this problem: Objective: Drops columns most of whose rows missing Inputs: 1. Dataframe df: Pandas dataframe 2. threshold: Determines which columns will be dropped. If threshold is .9, the columns with 90% missing value will be dropped Outputs: 1. Dataframe df with dropped columns (if no columns are dropped, you will return the same dataframe) Excel
Drop rows that contains the data between specific dates
The file contains data by date and time: All I want I want drop rows that contains between these dates and includes the start and end dates: Any Idea? Answer Sample: Use boolean indexing for filter by condition with chain by | for bitwise OR: Or filter by Series.between and invert mask by ~:
How to populate columns of a dataframe using a subset of another dataframe?
I have two dataframes like this I now want to populate columns prop1 and prop2 in df2 using the values of df1. For each key, we will have more or equal rows in df1 than in df2 (in the example above: 5 times A vs 3 times A, 2 times B vs 2 times B and 3 times C vs
Find timedelta hour with highest number of occurences in pandas dataframe
I have a dataframe where I store orders and the time at which they are received There are may orders but the dataframe contains orders for the month. I want to know which hour I receive the most orders during the month. I tried creating a series like this. So that I could group by hour like this But it
How to get the Toggle flag value and sum of rows between the flag toggle
In continuation to my previous Question I need some more help. The dataframe is like I am trying to have the flag state value along with the toggle count, Means flag toggling state. The output should look like this Can someone help with this? Answer Create helper Series with shift and cumsum and aggregate sum, last remove helper first level