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本次搜索耗时 0.606 秒,为您找到相关结果约 27 个.
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  • pdf文档 pandas: powerful Python data analysis toolkit - 0.17.0

    1. Navigate to your repository on GitHub–https://github.com/your-user-name/pandas. 2. Click on Branches. 3. Click on the Compare button for your feature branch. 4. Select the base and compare branches To submit a Pull Request: 1. Navigate to your repository on GitHub. 2. Click on the Pull Request button. 3. You can then click on Commits and Files Changed to make sure everything looks okay one last last time. 4. Write a description of your changes in the Preview Discussion tab. 5. Click Send Pull Request. This request then appears to the repository maintainers, and they will review the code. If you
    0 码力 | 1787 页 | 10.76 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.19.1

    integration tests on a forked repository: 1. Go to Travis CI and sign in with your GitHub account. 2. Click on the + icon next to the My Repositories list and enable Travis builds for your fork. 3.5. Contributing Contributing to the code base 339 pandas: powerful Python data analysis toolkit, Release 0.19.1 3. Click on the gear icon to edit your travis build, and add two environment variables: • GBQ_PROJECT_ID with page which exists at the following location: https://travis-ci.org/your-user-name/pandas/branches . Click on a build job for your branch. Expand the following line in the build log: ci/print_skipped.py /tmp/nosetests
    0 码力 | 1943 页 | 12.06 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.13.1

    self.button_first.clicked.connect(self.on_first_click) self.button_second = QtGui.QPushButton(’Second’) self.button_second.clicked.connect(self.on_second_click) # Set the layout vbox = QtGui.QVBoxLayout() addLayout(hbox) self.setLayout(vbox) def on_first_click(self): ’’’Sets the first DataFrame’’’ self.widget.setDataFrame(self.df1) def on_second_click(self): ’’’Sets the second DataFrame’’’ self.widget
    0 码力 | 1219 页 | 4.81 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.19.0

    page which exists at the following location: https://travis-ci.org/your-user-name/pandas/branches . Click on a build job for your branch. Expand the following line in the build log: ci/print_skipped.py /tmp/nosetests Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches analysis toolkit, Release 0.19.0 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last
    0 码力 | 1937 页 | 12.03 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.20.3

    you have an all ‘green’ build. If any tests are failing, then you will get a red ‘X’, where you can click through to see the individual failed tests. This is an example of a green build. 386 Chapter 3. Contributing Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches To submit a pull request: 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last
    0 码力 | 2045 页 | 9.18 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.20.2

    you have an all ‘green’ build. If any tests are failing, then you will get a red ‘X’, where you can click through to see the individual failed tests. This is an example of a green build. 384 Chapter 3. Contributing Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches To submit a pull request: 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last
    0 码力 | 1907 页 | 7.83 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.14.0

    self.button_first.clicked.connect(self.on_first_click) self.button_second = QtGui.QPushButton(’Second’) self.button_second.clicked.connect(self.on_second_click) # Set the layout vbox = QtGui.QVBoxLayout() addLayout(hbox) self.setLayout(vbox) def on_first_click(self): ’’’Sets the first DataFrame’’’ self.widget.setDataFrame(self.df1) def on_second_click(self): ’’’Sets the second DataFrame’’’ self.widget
    0 码力 | 1349 页 | 7.67 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.21.1

    you have an all ‘green’ build. If any tests are failing, then you will get a red ‘X’, where you can click through to see the individual failed tests. This is an example of a green build. 414 Chapter 3. Contributing Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches To submit a pull request: 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last
    0 码力 | 2207 页 | 8.59 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.2

    Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches To submit a pull request: 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last last time 4. Write a description of your changes in the Preview Discussion tab 5. Click Send Pull Request. This request then goes to the repository maintainers, and they will review the code. 4.1. Contributing
    0 码力 | 3509 页 | 14.01 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.3

    Navigate to your repository on GitHub – https://github.com/your-user-name/pandas 2. Click on Branches 3. Click on the Compare button for your feature branch 4. Select the base and compare branches To submit a pull request: 1. Navigate to your repository on GitHub 2. Click on the Pull Request button 3. You can then click on Commits and Files Changed to make sure everything looks okay one last last time 4. Write a description of your changes in the Preview Discussion tab 5. Click Send Pull Request. 4.1. Contributing to pandas 2695 pandas: powerful Python data analysis toolkit, Release 1.3.3
    0 码力 | 3603 页 | 14.65 MB | 1 年前
    3
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