Functions

Summary

function	class parent	truncated documentation
AUC		Compute the AUC.
AUC_multi		Compute the AUC.
AUC_multi_multi		Compute the AUC.
_complete_subset_streets		Extends a set of edges to have less extermities into the graph composed by the sets of edges.
_default_name		Returns a default username.
_delete_edge		Removes an edge from the graph.
_enumerate_close		Enumerates close streets from a starting point.
_euler_path		Computes an Eulerian path.
_explore_path		Explores an Eulerian path, remove used edges from edges_from.
_recurse_fill
_search_images_dogcat_keras
_search_images_dogcat_torch
_setup_hook		does nothing
add_missing_time		After aggregation, it usually happens that the series is sparse. This function adds rows for missing time.
added		Retrieves added.zip.
anyzip		Any zip.
appariement		On veut apparier les événemens -1 aux événemens +1. On s’attend aux colonnes suivantes: “file”, “collect_date”, …
bellman_distances		Computes shortest distances between all vertices. It assumes edges are symmetric.
besancon_df		Retrieves Besancon.df.zip.
best_euler_path		Computes the final solution for the Eulerian path.
build_streets_vertices		Returns vertices and edges based on the subset of edges.
cached_property		A memoize decorator for class properties.
change_encoding		Changes the encoding of a text file and removes quotes. By default process is process_line().
change_encoding_improve		Changes the encoding of a text file, removes quotes. By default process is process_line() but the function …
check		Checks the library is working. It raises an exception.
clean_column_name_sql_dump		Removes quotes in a line which looks like:
clean_function_notebook		Cleans cells when unittesting notebooks.
compute_degrees		Compute the degree of vertices.
connect_streets		Tells if streets st1, st2 are connected.
convert_dates		Converts a string into a date.
convert_dcm2png		Converts all medical images in a folder from format dcm to png.
cresus_dummy_file
dcm2png		Converts all medical images in a folder from format dcm to png.
decrypt_dataframe		Reads an encrypted dataframe.
df2rsthtml		Writes a table into RST or HTML format.
df_crossjoin		Makes a cross join (cartesian product) between two dataframes by using a constant temporary key. Also sets a MultiIndex …
dijkstra_path		Returns the best path between two vertices. Uses Dikjstra …
distance		Calcule une distance pour un appariement conçu ici comme la variance de la vitesse de chaque déplacement + la somme …
distance_path		Calcule la vitesse moyenne lorsque le chemin est connu.
distance_solution		Checks if a solution is really a solution and returns the distance of it, None if it is not a solution. The function …
distance_vertices		Computes the length of edges if distances is None.
encrypt_file		Encrypts a file with a specific password.
enumerate_batch_features		Enumerates all batches saved in a folder.
enumerate_events		Construit la liste des événements (vélo réposé ou retiré).
enumerate_image_class		Lists all images in one folder assuming subfolders indicates the class of each image belongs to.
enumerate_json_items		Enumerates items from a JSON file or string.
enumerate_text_lines		Enumerates all lines from a text file and does some cleaning (see the list of parameters).
euler_path		Computes an Eulerian path.
execute_notebooks		Executes a list of notebooks.
extract_bing_result		Extract the first results from a search page assuming it comes from Bing Image.
extract_images_from_json_2017		Extracts fields from a JSON files such as images.
folder_split_train_test		Splits images from a folder into train and test. The function saves images into two separate folders.
folium_html_stations_map		Returns a folium map which shows stations in different colors.
folium_html_street_map		Returns a folium map which represents the streets.
get_additional_paths		Returns a list of paths to add before running the notebooks, paths to pyquickhelper, pyensae.
get_chicago_stations		Retrieves processed data from Divvy Data.
get_data		Récupère les données.
get_fields_description		Retrieves a dataframe which describes the meaning of the metadata.
get_max_delta		Returns the maximal value by which we can improve the dual solution by adjusting charges on alternating trees.
get_meaning		Retrieves data related to the meaning of a table.
get_password		Retrieves a password with keyring.
get_password		Retrieves a password assocatied to key. Relies on module keyring.
get_password_from_keyring_or_env		Gets the password from keyring first, then from the environment variables. …
get_seattle_streets		Retrieves processed data from Seattle Streets. …
haversine_distance		Computes Haversine formula.
histogram_image_size		Computes the distribution of images size.
image_zoom		Resizes an image (from PIL).
img2gray		Converts an image (PIL) to gray scale.
last_element		Returns the last element of sequence assuming they were generated by an iterator or a generator.
load_batch_features		Loads a batch file saved by stream_image2features().
ls_notebooks		Lists the notebooks in a particular subfolder.
main		Implements python -m ensae_projects <command> <args>.
main_codalab_wrapper_binary_classification		adapt the tempate available at evaluate.py …
main_codalab_wrapper_multi_classification		adapt the tempate available at evaluate.py …
matching_vertices		Finds the best match between vertices.
merge_schema		Merges schemas of various databases.
plot_gallery_random_images		Plots a gallery of images using matplotlib. Extracts a random sample from a folder which contains many images. …
plot_streets_network		Plots the network based on cartopy.
plot_streets_network_projection		Returns the default projection for plot_streets_network(). See projection. …
prepare_cresus_data		Prepares the data for the challenge.
private_codalab_wrapper_binary_classification		Wraps the function following the guidelines User_Building a Scoring Program for a Competition. …
private_codalab_wrapper_multi_classification		Wraps the function following the guidelines User_Building a Scoring Program for a Competition. …
process_cresus_sql		Processes the database sent by cresus and produces a list of flat files.
process_cresus_whole_process		Processes the database from Cresus until it splits the data into two two sets of files.
query_bing_image		Returns the search page from Bing Image for a specific query.
random_answers_2020_images		Generates random answers the deep learning challenge of hackathons Hackathon ENSAE / Statup / Cap Gemini - 2020/2021.
random_answers_2020_ml		Generates random answers the machine learning challenge of hackathons Hackathon ENSAE / Statup / Cap Gemini - 2020/2021.
read_image		Reads an image.
read_input
resize_image		Resizes an image until one of its dimension becomes smaller than maxdim after dividing the dimensions by two many …
score_images		Scores the predictions for images.
search_images_dogcat		Defines a REST application. It returns a list of neighbors among a small set of images representing dogs …
seattle_streets_set_level		Returns a graph of streets.
seattle_streets_set_level2		Returns a small graph of streets.
seattle_streets_set_level3		Returns a small graph of streets.
seattle_streets_set_small		Returns a small graph of streets.
set_password		Stores a password with keyring.
set_password		Stores a password assocatied to key. Relies on module keyring.
shapely_records		Uses pyshp to return shapes and records from shapefiles.
split_XY_bind_dataset_cresus_data		Splits XY for the blind set.
split_train_test_cresus_data		Splits the tables into two sets for tables (based on users).
stream_apply_image_transform		Applies a transform on every image in a folder, saves it in another one. It keeps the same subfolders.
stream_copy_images		Copies all images from src_folder to dest_folder if valid(name) is True.
stream_download_images		Downloads images based on their urls.
stream_image2features		Considers all images in a folder, transform them into features (function transform) and saves them with pickle …
stream_random_sample		Extracts a random sample from a folder which contains many images. Relies on fonction enumerate_image_class(). …
update_tree_structures
vitesse		Calcule la vitesse d’un déplacement.