gdrivefs | Linux Google Drive client | Data Processing library
kandi X-RAY | gdrivefs Summary
kandi X-RAY | gdrivefs Summary
GdriveFS is a project which brings a subset of dropbox-like sync functionality to users of Google Drive on \*nix-based operating systems. [Jim Sproch] started this project and implemented the majority of the features, and I (Stephen) joined later and added much of the functionality for chunking of file reads and syncing writes. Key userspace file system functionality is provided by Etienne Perot’s excellent [fuse-jna] project. A key difference between the way this software is implemented and something like e.g. Dropbox or Google’s own Drive sync application for Windows/Mac is that files are not preemptively downloaded — instead, file chunks are synced "on-demand" as the user reads them.
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Top functions reviewed by kandi - BETA
- Main entry point
- Find the JAR file inside the classpath
- Attempts to install gdrive jar files
- Checks that the supplied email address and mount point are valid
- Read bytes from a file
- Returns a sequence of bytes in the specified range of bytes in the specified range
- Read a number of bytes from the file
- Writes data to a file
- Writes the buffer to the disk
- Returns an iterator over the files in this directory
- Creates a database
- Returns the xatt attribute
- Called when the mount point is updated
- Retrieves the file size for the given path
- Renames a file
- Create file with given path
- Close the drive
- Create a directory at the specified path
- Read a fragment
- Unlinks a file
- Compares this object to another
- Removes a directory
- Reads a directory
- Release file
- Opens a file
- Overwrites all the files in the specified path
gdrivefs Key Features
gdrivefs Examples and Code Snippets
Community Discussions
Trending Discussions on Data Processing
QUESTION
I have a series of data processing as below:
- I have two list which contain the data I need.
- I append the lists into a new list. [tableList]
- Convert the list into dataframe and exported it into csv file. [tableDf]
Here's simplified contents of tableList:
...ANSWER
Answered 2022-Mar-23 at 14:41just to provide a convtools based alternative option:
QUESTION
I have a dataframe extracted from a csv file. I want to iterate a data process where only some of the columns's data is the mean of n rows, while the rest of the columns is the first row for each iteration.
For example, the data extracted from the csv consisted of 100 rows and 6 columns. I have a variable n_AVE = 6, which tells the code to average the data per 6 rows.
...ANSWER
Answered 2022-Mar-11 at 05:00You can group the dataframe by the grouper np.arange(len(df)) // 6
which groups the dataframe every six rows, then aggregate the columns using the desired aggregation functions to get the result, optionally reindex
along axis=1
to reorder the columns
QUESTION
To generate a csv file where each column is a data of sine wave of frequency 1 Hz, 2 Hz, 3Hz, 4Hz, 5Hz, 6Hz and 7 Hz. The amplitude is one volt. There should be 100 points in one cycle and thus 700 points in seven waves.
...ANSWER
Answered 2022-Mar-03 at 13:45Here is how I will go about it:
QUESTION
I'm trying to train a neural network made with the Keras Functional API with one of the default TFDS Datasets, but I keep getting dataset related errors.
The idea is doing a model for object detection, but for the first draft I was trying to do just plain image classification (img, label). The input would be (256x256x3) images. The input layer is as follows:
...ANSWER
Answered 2022-Mar-02 at 07:54I think the problem is that each image can belong to multiple classes, so I would recommend one-hot encoding the labels. It should then work. Here is an example:
QUESTION
I have a pandas dataframe that contains only one column which contains a string. I want to apply a function to each row that will split the string by sentence and replace that row with rows generated from the function.
Example dataframe:
...ANSWER
Answered 2022-Feb-15 at 20:32Convert all your strings to a 'flat' list, and build a new DataFrame or Series of that.
QUESTION
I want to achieve this specific task, I have 2 files, the first one with emails and credentials:
...ANSWER
Answered 2021-Nov-16 at 18:02The duplication issue comes from the fact that you are reading two files in a nested way, once a line from the test.txt
is read, you open the location.txt
file for reading and process it. Then, you read the second line from test.txt
, and re-open the location.txt
and process it again.
Instead, get all the necessary data from the location.txt
, say, into a dictionary, and then use it while reading the test.txt
:
QUESTION
In order to create PlaceKey for addresses to link some of my tables, I need to split an address column in SnowFlake.
I am not familiar with JavaScript, but I tried Javascript UDF in SnowFlake. Then I don't know how to deal with the addresses like '123_45ThSt'.
The output of my function is like '123_45 Th St'. I am stuck here.
The expected output is '123 45Th St'. Hope someone could help me out. Much appreciated!
Below is another example and my SnowFlake SQL code:
...ANSWER
Answered 2021-Oct-03 at 22:38Assuming the format of street address, which includes number + word (ends with lower case or number) + word (start with upper case), I have below solution:
QUESTION
I have a sample of the dataframe as given below.
...ANSWER
Answered 2021-Aug-26 at 17:47Try:
QUESTION
I have two dataframes from which a new dataframe has to be created. The first one is given below.
...ANSWER
Answered 2021-Aug-25 at 21:23You can use .merge
+ boolean-indexing:
QUESTION
I try to open a file with openpyxl but only get the error:
raise BadZipFile("File is not a zip file") zipfile.BadZipFile: File is not a zip file
A simple code example:
...ANSWER
Answered 2021-Aug-07 at 21:20The excel files were in read-only mode. I saved the file as a new file and load_workbook worked.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gdrivefs
You can use gdrivefs like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the gdrivefs component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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