Several methods of obtaining function annotation text on pycharm

Method 1： Print help The return result of the function .

Let's say OpenCV-python Of findContours Function as an example .

print(help(cv2.findContours))

# The output is as follows 
Help on built-in function findContours:
findContours(...)
    findContours(image, mode, method[, contours[, hierarchy[, offset]]]) -> contours, hierarchy
    .   @brief Finds contours in a binary image.
    .   
    .   The function retrieves contours from the binary image using the algorithm @cite Suzuki85 . The contours
    .   are a useful tool for shape analysis and object detection and recognition. See squares.cpp in the
    .   OpenCV sample directory.
    .   @note Since opencv 3.2 source image is not modified by this function.
    .   
    .   @param image Source, an 8-bit single-channel image. Non-zero pixels are treated as 1's. Zero
    .   pixels remain 0's, so the image is treated as binary . You can use #compare, #inRange, #threshold ,
    .   #adaptiveThreshold, #Canny, and others to create a binary image out of a grayscale or color one.
    .   If mode equals to #RETR_CCOMP or #RETR_FLOODFILL, the input can also be a 32-bit integer image of labels (CV_32SC1).
    .   @param contours Detected contours. Each contour is stored as a vector of points (e.g.
    .   std::vector<std::vector<cv::Point> >).
    .   @param hierarchy Optional output vector (e.g. std::vector<cv::Vec4i>), containing information about the image topology. It has
    .   as many elements as the number of contours. For each i-th contour contours[i], the elements
    .   hierarchy[i][0] , hierarchy[i][1] , hierarchy[i][2] , and hierarchy[i][3] are set to 0-based indices
    .   in contours of the next and previous contours at the same hierarchical level, the first child
    .   contour and the parent contour, respectively. If for the contour i there are no next, previous,
    .   parent, or nested contours, the corresponding elements of hierarchy[i] will be negative.
    .   @note In Python, hierarchy is nested inside a top level array. Use hierarchy[0][i] to access hierarchical elements of i-th contour.
    .   @param mode Contour retrieval mode, see #RetrievalModes
    .   @param method Contour approximation method, see #ContourApproximationModes
    .   @param offset Optional offset by which every contour point is shifted. This is useful if the
    .   contours are extracted from the image ROI and then they should be analyzed in the whole image
    .   context.
None

Method 2： utilize __doc__ Function implementation annotation call .

print(cv2.findContours.__doc__)

# Here is the output ; And above help Function to call the annotation 
findContours(image, mode, method[, contours[, hierarchy[, offset]]]) -> contours, hierarchy
.   @brief Finds contours in a binary image.
.   
.   The function retrieves contours from the binary image using the algorithm @cite Suzuki85 . The contours
.   are a useful tool for shape analysis and object detection and recognition. See squares.cpp in the
.   OpenCV sample directory.
.   @note Since opencv 3.2 source image is not modified by this function.
.   
.   @param image Source, an 8-bit single-channel image. Non-zero pixels are treated as 1's. Zero
.   pixels remain 0's, so the image is treated as binary . You can use #compare, #inRange, #threshold ,
.   #adaptiveThreshold, #Canny, and others to create a binary image out of a grayscale or color one.
.   If mode equals to #RETR_CCOMP or #RETR_FLOODFILL, the input can also be a 32-bit integer image of labels (CV_32SC1).
.   @param contours Detected contours. Each contour is stored as a vector of points (e.g.
.   std::vector<std::vector<cv::Point> >).
.   @param hierarchy Optional output vector (e.g. std::vector<cv::Vec4i>), containing information about the image topology. It has
.   as many elements as the number of contours. For each i-th contour contours[i], the elements
.   hierarchy[i][0] , hierarchy[i][1] , hierarchy[i][2] , and hierarchy[i][3] are set to 0-based indices
.   in contours of the next and previous contours at the same hierarchical level, the first child
.   contour and the parent contour, respectively. If for the contour i there are no next, previous,
.   parent, or nested contours, the corresponding elements of hierarchy[i] will be negative.
.   @note In Python, hierarchy is nested inside a top level array. Use hierarchy[0][i] to access hierarchical elements of i-th contour.
.   @param mode Contour retrieval mode, see #RetrievalModes
.   @param method Contour approximation method, see #ContourApproximationModes
.   @param offset Optional offset by which every contour point is shifted. This is useful if the
.   contours are extracted from the image ROI and then they should be analyzed in the whole image
.   context.

Method 3： Hover the mouse cursor over the name or parameter of the function , Hold down Ctrl key + Click the left mouse button .